Gene expression profiling to characterize sediment toxicity - a pilot study using Caenorhabditis elegans whole genome microarrays

被引:57
|
作者
Menzel, Ralph [4 ]
Swain, Suresh C. [1 ]
Hoess, Sebastian [2 ]
Claus, Evelyn [3 ]
Menzel, Stefanie [4 ]
Steinberg, Christian E. W. [4 ]
Reifferscheid, Georg [3 ]
Stuerzenbaum, Stephen R. [1 ]
机构
[1] Kings Coll London, Sch Biomed & Hlth Sci, Div Pharmaceut Sci, London SE1 9NH, England
[2] Ecossa Ecol Sediment & Soil Assessment, D-82319 Starnberg, Germany
[3] Fed Inst Hydrol, Dept Biochem & Ecotoxicol, D-56068 Koblenz, Germany
[4] Humboldt Univ, Dept Biol Freshwater & Stress Ecol, D-12437 Berlin, Germany
来源
BMC GENOMICS | 2009年 / 10卷
基金
美国国家卫生研究院;
关键词
DNA-DAMAGE; LIFE-SPAN; NEMATODE; WATER; GROWTH; LONG; RESISTANCE; TREHALOSE; EXTENSION; CADMIUM;
D O I
10.1186/1471-2164-10-160
中图分类号
Q81 [生物工程学(生物技术)]; Q93 [微生物学];
学科分类号
071005 ; 0836 ; 090102 ; 100705 ;
摘要
Background: Traditionally, toxicity of river sediments is assessed using whole sediment tests with benthic organisms. The challenge, however, is the differentiation between multiple effects caused by complex contaminant mixtures and the unspecific toxicity endpoints such as survival, growth or reproduction. The use of gene expression profiling facilitates the identification of transcriptional changes at the molecular level that are specific to the bio-available fraction of pollutants. Results: In this pilot study, we exposed the nematode Caenorhabditis elegans to three sediments of German rivers with varying (low, medium and high) levels of heavy metal and organic contamination. Beside chemical analysis, three standard bioassays were performed: reproduction of C. elegans, genotoxicity (Comet assay) and endocrine disruption (YES test). Gene expression was profiled using a whole genome DNA-microarray approach to identify overrepresented functional gene categories and derived cellular processes. Disaccharide and glycogen metabolism were found to be affected, whereas further functional pathways, such as oxidative phosphorylation, ribosome biogenesis, metabolism of xenobiotics, aging and several developmental processes were found to be differentially regulated only in response to the most contaminated sediment. Conclusion: This study demonstrates how ecotoxicogenomics can identify transcriptional responses in complex mixture scenarios to distinguish different samples of river sediments.
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页数:15
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